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Fishing, water regulation, and competition : the past, present, and future of brook trout in the Rapid River, Maine /Jackson, Casey Alannah Leialoha, January 2009 (has links)
Thesis (M.S.) in Wildlife Ecology--University of Maine, 2009. / Includes vita. Includes bibliographical references (leaves 73-87).
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Physiological stress in native brook trout (Salvelinus Fontinalis) during episodic acidification of streams in the Great Smoky Mountains National ParkNeff, Keil Jason, January 2007 (has links) (PDF)
Thesis (M.S.)--University of Tennessee, Knoxville, 2007. / Title from title page screen (viewed on June 4, 2008). Thesis advisor: John S. Schwartz. Vita. Includes bibliographical references.
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Fishing, Water Regulation, and Competition: The Past, Present, and Future of Brook Trout in the Rapid River, MaineJackson, Casey Alannah Leialoha January 2009 (has links) (PDF)
No description available.
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Empirical models predicting catch of brook trout (Salvelinus fontinalis) in Québec sport fishery lakesGodbout, Lyse January 1987 (has links)
No description available.
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Empirical models predicting catch of brook trout (Salvelinus fontinalis) in Québec sport fishery lakesGodbout, Lyse January 1987 (has links)
The aim of this thesis is to develop empirical models of the stable catch of brook trout in the Laurentian lakes of Quebec. Current estimators of fish yield are biased and predict poorly. / A model resulting from this study shows that catch increases with fishing effort, but that the rate of increase is smaller at higher effort. For a given effort, the catch-per-unit of effort (CPUE) is greater in larger lakes. Catch is also greater in phosphorus rich lakes and smaller in acid lakes. Catch of bigger fish is associated with a lower CPUE. / No dome-shaped relationship between catch and effort, standardized for the effects of lakes characteristics, could be established. Thus the maximum sustainable yield (MSY) concept provides no guidelines for management of the fishery. However, an early warning of overexploitation is an exceptionally high rate of fishing success. In addition logistic regression based on easily obtained variables can predict the likelihood of stability of the fisheries.
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